Yao Huang, Cong Tan, Jing Wan, Lan Zhang, Yan Rong
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引用次数: 0
Abstract
Context
SiGe nanotubes (SiGeNTs) hold significant promise for applications in nanosolar cells, optoelectronic systems, and interconnects, where thermal conductivity is critical to performance. This study investigates the effects of length, diameter, temperature, and axial strain on the thermal conductivity of armchair and zigzag SiGeNTs through molecular dynamics simulations. Results indicate that thermal conductivity increases with sample length due to ballistic heat transport and decreases with temperature as phonon scattering intensifies. Axial strain transitions from compression to tension enhance phonon propagation, improving conductivity. Chirality affects conductivity, with zigzag SiGeNTs consistently outperforming armchair structures, while diameter exhibits negligible impact.
Methods
Non-equilibrium molecular dynamics simulations were conducted using the LAMMPS package with the Tersoff potential to model Si-Ge interactions. Thermal conductivity was computed via Fourier’s law, with the system divided into regions for controlled heat input and dissipation. Lengths, diameters, temperatures (100–500 K), and axial strains (− 6% to + 9%) were varied systematically. Phonon spectrum analysis was performed using Fourier transforms of velocity autocorrelation functions to compute.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.